OUTLINE FOR CHAPTER 14

Analyses of Variance With Repeated Measures

  1. Introduction
    1. Similarities and differences between ANOVAs with and without repeated measures
    2. Repeated measures and the univariate/multivariate distinction
    3. The distinction between separate ANOVAs using data from the same subjects vs. a unified repeated measures ANOVA
    4. The notion of a "within-subjects" factor (and three situations that create this kind of factor)
  2. One-Way Repeated Measures ANOVAs
    1. Different labels for this kind of ANOVA
    2. Purpose
    3. Presentation of results
      1. The ANOVA summary table
      2. Results presented within a passage of text
      3. Post hoc investigations
    4. The presentation order of levels of the within-subjects factor
      1. Practice effects, fatigue effects, and confounding
      2. Three ways to alter the order of the factor's levels
    5. Carry-over effects
    6. The sphericity assumption
      1. The importance and meaning of the sphericity assumption
      2. Mauchly's test
      3. The Geisser-Greenhouse conservative F-test procedure
      4. The Huynh-Feldt correction
  3. Two-Way Repeated Measures ANOVAs
    1. Different labels for this kind of ANOVA
    2. Purpose
    3. Presentation of results
      1. The ANOVA summary table
      2. Results presented within a passage of text
      3. Post hoc investigations
    4. The presentation order of levels of the within-subjects factor
    5. The sphericity assumption
    6. Practical versus statistical significance
  4. Two-Way Mixed ANOVAs
    1. Labels for this kind of ANOVA
    2. Data layout and purpose
      1. The importance of being able to picture a study's factors, levels, and subjects
      2. Three research questions: two dealing with main effects and one with interaction
    3. Presentation of results
      1. The ANOVA summary table
        1. The "upper" and "lower" sections of the summary table
        2. The presence of two error terms
        3. Using information from the table
      2. Results presented within a passage of text
      3. Post hoc investigations
    4. Related issues
      1. The order in which the levels of the within-subjects factor are presented
      2. The sphericity assumption
      3. The distinction between statistical and practical significance
  5. Three Final Comments
    1. What kind of ANOVA was it?
    2. Practical versus statistical significance
    3. The possibility of inferential error

 

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Schuyler W. Huck
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